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Jonne Kaunisto

dblp:306/1369 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 50% Vehicular, aerial and satellite networks · 50%
Network and information security
1 paper
Cryptographic protocols and secure computation · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Vehicular, aerial and satellite networks › vehicular network security
certificate revocation
0.512021
On-device IoT Certificate Revocation Checking with Small Memory and Low Latency · CCS 2021
Internet of things and sensor networks
iot security
0.512021
On-device IoT Certificate Revocation Checking with Small Memory and Low Latency · CCS 2021
Cryptographic protocols and secure computation › key management › public key infrastructure
certificate validation
0.112021
On-device IoT Certificate Revocation Checking with Small Memory and Low Latency · CCS 2021

Methods — techniques the papers use, named apart from their topics

compact data structure · 1.0DASS · 1.0
YearPublicationVenuePosition
2021 On-device IoT Certificate Revocation Checking with Small Memory and Low Latency
abstract
Allowing a device to verify the digital certificate of another device is an essential requirement and key building block of many security protocols for emerging and future IoT systems that involve device-to-device communication. However, on-device certificate verification is challenging for current devices, mainly because the certificate revocation (CR) checking step costs too much resource on IoT devices and the synchronization of CR status to devices yields a long latency. This paper presents an on-device CR checking system called TinyCR, which achieves 100% accuracy, memory and computation efficiency, low synchronization latency, and low network bandwidth, while being compatible with the current certificate standard. We design a new compact and dynamic data structure called DASS to store and query global CR status on a device in TinyCR. Our implementation shows that TinyCR only costs each device 1.7 MB of memory to track 100 million IoT certificates with 1% revocation rate. Checking the CR status of one certificate spends less than 1 microsecond on a Raspberry Pi 3. TinyCR can also be updated instantly when there are new certificates added or revoked.
Shouqian Shi, Minmei Wang, Jonne Kaunisto, Chen Qian 0001
CCS4